Cuckoo search-based least squares support vector machine models for optimum tuning of tuned mass dampers

DOI10.1142/S0219455418500281MaRDI QIDQ6492989

Sadegh Etedali, Nader Mollayi

Publication date: 26 April 2024

Published in: International Journal of Structural Stability and Dynamics (Search for Journal in Brave)

zbMATH Keywords

least squares support vector machinetuned mass dampercuckoo searchsupervised machine learning

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Approximation methods and heuristics in mathematical programming (90C59) Vibrations in dynamical problems in solid mechanics (74H45)

Cites Work

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• Multiobjective cuckoo search for design optimization
• Benchmarking least squares support vector machine classifiers
• LS-SVM Regression for Structural Damage Diagnosis Using the Iterated Improved Reduction System
• The Use of Tuned Mass Absorber to Prevent Overturning of the Rigid Block During Earthquake
• Explicit Formulae For Optimum Absorber Parameters For Force-Excited And Viscously Damped Systems

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